11 agent-based-modeling Postdoctoral positions at University of Houston Central Campus
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Center and funded by the NIH, DoD, and CPRIT, is seeking a highly motivated Postdoctoral Research Fellow to work on T-cell based immunotherapies. This position offers a unique opportunity to be part of a
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key
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samples and • Apply geochemical modelling techniques to the processing and interpretation of existing isotopic data. • Lead in the development and submission of high-quality research manuscripts and develop
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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, forest management, seismic hazard modeling, and landscape evolution in seismically active regions. To apply, candidates should send a copy of their latest CV, a brief summary of their research background
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, Neuroscience, or related fields. The candidate should be experienced in collecting and modeling visual psychophysics data in human subjects with or without vision disorder. Preference will be given to candidates
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models, including carrying out surgeries in mice. In the Coulson- Thomas lab each investigator is responsible for maintaining the mouse colonies involved in their own studies in order to ensure the highest
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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encryption and zero-knowledge proofs to protect personal data. • Create solutions for real-time detection of model tampering, including mechanisms for identifying and preventing personal data exposure
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. The successful candidate will contribute to further advancement of the experimental setup and utilize electron- and light-based advanced methods to conduct materials and surface science research. Duration: 12